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Allele-specific expression assays using Solexa

BACKGROUND: Allele-specific expression (ASE) assays can be used to identify cis, trans, and cis-by-trans regulatory variation. Understanding the source of expression variation has important implications for disease susceptibility, phenotypic diversity, and adaptation. While ASE is commonly measured...

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Autores principales: Main, Bradley J, Bickel, Ryan D, McIntyre, Lauren M, Graze, Rita M, Calabrese, Peter P, Nuzhdin, Sergey V
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2749874/
https://www.ncbi.nlm.nih.gov/pubmed/19740431
http://dx.doi.org/10.1186/1471-2164-10-422
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author Main, Bradley J
Bickel, Ryan D
McIntyre, Lauren M
Graze, Rita M
Calabrese, Peter P
Nuzhdin, Sergey V
author_facet Main, Bradley J
Bickel, Ryan D
McIntyre, Lauren M
Graze, Rita M
Calabrese, Peter P
Nuzhdin, Sergey V
author_sort Main, Bradley J
collection PubMed
description BACKGROUND: Allele-specific expression (ASE) assays can be used to identify cis, trans, and cis-by-trans regulatory variation. Understanding the source of expression variation has important implications for disease susceptibility, phenotypic diversity, and adaptation. While ASE is commonly measured via relative fluorescence at a SNP, next generation sequencing provides an opportunity to measure ASE in an accurate and high-throughput manner using read counts. RESULTS: We introduce a Solexa-based method to perform large numbers of ASE assays using only a single lane of a Solexa flowcell. In brief, transcripts of interest, which contain a known SNP, are PCR enriched and barcoded to enable multiplexing. Then high-throughput sequencing is used to estimate allele-specific expression using sequencing counts. To validate this method, we measured the allelic bias in a dilution series and found high correlations between measured and expected values (r>0.9, p < 0.001). We applied this method to a set of 5 genes in a Drosophila simulans parental mix, F1 and introgression and found that for these genes the majority of expression divergence can be explained by cis-regulatory variation. CONCLUSION: We present a new method with the capacity to measure ASE for large numbers of assays using as little as one lane of a Solexa flowcell. This will be a valuable technique for molecular and population genetic studies, as well as for verification of genome-wide data sets.
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spelling pubmed-27498742009-09-24 Allele-specific expression assays using Solexa Main, Bradley J Bickel, Ryan D McIntyre, Lauren M Graze, Rita M Calabrese, Peter P Nuzhdin, Sergey V BMC Genomics Methodology Article BACKGROUND: Allele-specific expression (ASE) assays can be used to identify cis, trans, and cis-by-trans regulatory variation. Understanding the source of expression variation has important implications for disease susceptibility, phenotypic diversity, and adaptation. While ASE is commonly measured via relative fluorescence at a SNP, next generation sequencing provides an opportunity to measure ASE in an accurate and high-throughput manner using read counts. RESULTS: We introduce a Solexa-based method to perform large numbers of ASE assays using only a single lane of a Solexa flowcell. In brief, transcripts of interest, which contain a known SNP, are PCR enriched and barcoded to enable multiplexing. Then high-throughput sequencing is used to estimate allele-specific expression using sequencing counts. To validate this method, we measured the allelic bias in a dilution series and found high correlations between measured and expected values (r>0.9, p < 0.001). We applied this method to a set of 5 genes in a Drosophila simulans parental mix, F1 and introgression and found that for these genes the majority of expression divergence can be explained by cis-regulatory variation. CONCLUSION: We present a new method with the capacity to measure ASE for large numbers of assays using as little as one lane of a Solexa flowcell. This will be a valuable technique for molecular and population genetic studies, as well as for verification of genome-wide data sets. BioMed Central 2009-09-09 /pmc/articles/PMC2749874/ /pubmed/19740431 http://dx.doi.org/10.1186/1471-2164-10-422 Text en Copyright © 2009 Main et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology Article
Main, Bradley J
Bickel, Ryan D
McIntyre, Lauren M
Graze, Rita M
Calabrese, Peter P
Nuzhdin, Sergey V
Allele-specific expression assays using Solexa
title Allele-specific expression assays using Solexa
title_full Allele-specific expression assays using Solexa
title_fullStr Allele-specific expression assays using Solexa
title_full_unstemmed Allele-specific expression assays using Solexa
title_short Allele-specific expression assays using Solexa
title_sort allele-specific expression assays using solexa
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2749874/
https://www.ncbi.nlm.nih.gov/pubmed/19740431
http://dx.doi.org/10.1186/1471-2164-10-422
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